Navarro, P.J.; Miller, L.; Gila-Navarro, A.; DÃaz-Galián, M.V.; Aguila, D.J.; Egea-Cortines, M.
3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sens. 2021, 13, 729.
https://doi.org/10.3390/rs13040729
AMA Style
Navarro PJ, Miller L, Gila-Navarro A, DÃaz-Galián MV, Aguila DJ, Egea-Cortines M.
3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sensing. 2021; 13(4):729.
https://doi.org/10.3390/rs13040729
Chicago/Turabian Style
Navarro, Pedro J., Leanne Miller, Alberto Gila-Navarro, MarÃa Victoria DÃaz-Galián, Diego J. Aguila, and Marcos Egea-Cortines.
2021. "3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification" Remote Sensing 13, no. 4: 729.
https://doi.org/10.3390/rs13040729
APA Style
Navarro, P. J., Miller, L., Gila-Navarro, A., DÃaz-Galián, M. V., Aguila, D. J., & Egea-Cortines, M.
(2021). 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sensing, 13(4), 729.
https://doi.org/10.3390/rs13040729